About

Female electrical engineering senior design team with final project, Spring 2018

Electrical Engineering, Computer Science and Computer Engineering continue to be attractive and lucrative professions with rich traditions in the design, development, testing and commercialization of cellular and information highway technology; command, control and delivery of power of high speed machines, digital networks, microprocessors and supercomputers, materials such as superconductors and bio-materials, and VLSI circuits for consumer and industrial electronic applications.

The Department of Electrical Engineering and Computer Science (EECS) is organized internally into two informal divisions: Electrical and Computer Engineering; and Computer Science (CS). The Department offers seven degree programs: the Bachelor of Science in Electrical Engineering, Bachelor of Science in Computer Engineering, and Bachelor of Science in Computer Science; the Master of Science in Electrical Engineering and Master of Science in Computer Science; and Doctor of Philosophy in either Electrical Engineering or Computer Science. The Department of EECS covers a range of academic areas including, but not limited to, software, computer gaming, artificial intelligence (AI), computation, computer systems, networking materials, control, power systems, signal processing, imaging, systems analysis, electronic devices, circuits, and processors.

The Department of EECS is dedicated to developing high-quality graduates who will take positions of leadership as their careers advance. Our graduates work in leading-edge businesses in a variety of technology sectors, including manufacturing and automation, computer and internet, automotive and aerospace, defense, finance, energy, and consulting.

News

Electrical Engineering Lecturer Fadel Lashhab Receives 2020 IEEE IEMTRONICS Best Paper Award

Fri, October 23, 2020

Electrical Engineering Lecturer Fadel Lashhab, Ph.D. recently received the prestigious Institute of Electrical and Electronics Engineers (IEEE), International IoT, Electronics and Mechatronics (IEMTRONICS) Best Paper Award in the Mechatronics track for his paper titled “Estimation of Dynamic Laplacian Eigenvalues in Dynamic Consensus Networks”. Read More >>

Professor Danda Rawat to Launch HU Center of Excellence with $7.5M DoD Award

Mon, October 19, 2020

Howard University’s College of Engineering and Architecture has received a five-year $7.5 million award from the U.S. Department of Defense (DOD) to create a Center of Excellence in Artificial Intelligence and Machine Learning, known as CoE-AIML. The project is led by Danda B. Rawat, Ph.D., professor of Computer Science and director of Howard’s Data Science & Cybersecurity Center (DSC2).Read More >>

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